scholarly journals Physical Activity in Adolescents following Treatment for Cancer: Influencing Factors

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Marilyn Wright ◽  
Angie Bryans ◽  
Kaylin Gray ◽  
Leah Skinner ◽  
Amanda Verhoeve
Keyword(s):  
Physical Activity ◽  
Health Care Providers ◽  
Leisure Time ◽  
Qualitative Data ◽  
Comparison Group ◽  
Leisure Time Physical Activity ◽  
Activity Levels ◽  
Care Providers ◽  
Physical Activity Levels ◽  
Barriers To Physical Activity

The purpose of this study was to examine physical activity levels and influencing individual and environmental factors in a group of adolescent survivors of cancer and a comparison group. Methods. The study was conducted using a “mixed methods” design. Quantitative data was collected from 48 adolescent survivors of cancer and 48 comparison adolescents using the Godin Leisure-Time Exercise Questionnaire, the Fatigue Scale—Adolescents, and the Amherst Health and Activity Study—Student Survey. Qualitative data was collected in individual semistructured interviews. Results. Reported leisure-time physical activity total scores were not significantly different between groups. Physical activity levels were positively correlated with adult social support factors in the group of adolescent survivors of cancer, but not in the comparison group. Time was the primary barrier to physical activity in both groups. Fatigue scores were higher for the comparison but were not associated with physical activity levels in either group. The qualitative data further supported these findings. Conclusions. Barriers to physical activity were common between adolescent survivors of cancer and a comparative group. Increased knowledge of the motivators and barriers to physical activity may help health care providers and families provide more effective health promotion strategies to adolescent survivors of pediatric cancer.

Differences in leisure-time physical activity levels between blacks and whites in population-based samples: The Minnesota heart survey

1991 ◽  
Vol 14 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Aaron R. Folsom ◽  
Timothy C. Cook ◽  
J. Michael Sprafka ◽  
Gregory L. Burke ◽  
Stephan W. Norsted ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Based ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Blacks And Whites

How Do Different Occupational Factors Influence Total, Occupational, and Leisure-Time Physical Activity?

2015 ◽  
Vol 12 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Corneel Vandelanotte ◽  
Camille Short ◽  
Matthew Rockloff ◽  
Lee Di Millia ◽  
Kevin Ronan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Total Physical Activity ◽  
Activity Levels ◽  
Full Time ◽  
Cross Sectional ◽  
Time Activity ◽  
Physical Activity Levels ◽  
The Impact

Background:A better understanding of how occupational indicators influence physical activity levels will aid the design of workplace interventions.Methods:Cross-sectional data were collected from 1194 participants through a telephone interview in Queensland, Australia. The IPAQ-long was used to measure physical activity. Multiple logistic regression was applied to examine associations.Results:Of participants, 77.9% were employed full-time, 32.3% had professional jobs, 35.7% were engaged in shift work, 39.5% had physically-demanding jobs, and 66.1% had high physical activity levels. Participants with a physicallydemanding job were less likely to have low total (OR = 0.25, 95% CI = 0.17 to 0.38) and occupational (OR = 0.17, 95% CI = 0.12 to 0.25) physical activity. Technical and trade workers were less likely to report low total physical activity (OR = 0.44, 95% CI = 0.20 to 0.97) compared with white-collar workers. Part-time (OR = 1.74, 95% CI = 1.15 to 2.64) and shift workers (OR = 1.86, 95% CI = 1.21 to 2.88) were more likely to report low leisure-time activity.Conclusions:Overall, the impact of different occupational indicators on physical activity was not strong. As expected, the greatest proportion of total physical activity was derived from occupational physical activity. No evidence was found for compensation effects whereby physically-demanding occupations lead to less leisure-time physical activity or vice versa. This study demonstrates that workplaces are important settings to intervene, and that there is scope to increase leisure-time physical activity irrespective of occupational background.

scholarly journals ASSOCIATION BETWEEN SCREEN-BASED SEDENTARY BEHAVIOR AND LEISURE-TIME PHYSICAL ACTIVITY AMONG LITHUANIAN 5–7TH GRADE SCHOOLCHILDREN

2014 ◽  
Vol 1 (3) ◽  
pp. 1-10
Author(s):  
Vaiva Balčiūnienė
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Computer Games ◽  
Internet Use ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Activity Levels ◽  
Sedentary Behaviors ◽  
Physical Activity Levels ◽  
Tv Watching

Research background. The prevalence of obesity and chronic diseases among adolescents is rising rapidly in many Western European countries, including Lithuania (Zaborskis, Raskilas, 2011; Currie et al., 2012). Physical activity levels of children and adolescents have declined, whereas in contrast sedentary behavior has increased during the last few decades. In this study based on the cities and districts of Lithuanian population, leisure time physical activity and screen-based sedentary behaviors among 5–7th grade schoolchildren were assessed. The aim of the research was to evaluate association between screen-based sedentary behavior and leisure-time physical activity among Lithuanian 5–7th grade schoolchildren. Research methods and organization. Applying nested random selection / sampling method, 1117 schoolchildren of 5–7th grades from ten Lithuanian pro-gymnasiums, gymnasiums and secondary schools located in different cities and districts were selected. The study was conducted in 2013. The respondents were given a Questionnaire to identify schoolchildren’s demographic data, assess physical activity levels (recommended by the WHO) as well as the levels of time for screen-based sedentary behaviors. Results. In the survey it was established that only 23.3 % of schoolchildren were sufficiently physically active during their leisure time. The average length of TV watching was 3.30 ± 1.67 hours, playing computer 3.51 ± 1.86 hours and internet use 3.41 ± 1.85 hours on week-days. 7th grade girls engaged more frequently in TV watching as compared to 7th grade boys (p < 0.01). The time of playing computer games was higher among boys compared to girls (p < 0.001), but the time of internet use was higher among 6th grade girls compared to 6th grade boys (p < 0.05). The main factors that led to the lack of sufficient physical activity were female gender, senior grade and the higher time of playing computer games and searching the internet. Conclusions. The association between the time of screen-based sedentary behaviors and leisure time physical activity were determined. These study results encourage research of the relations between “exergame” and physical activity among schoolchildren. Keywords: physical activity, screen-based sedentary behaviors, schoolchildren.

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